Literature DB >> 9245320

Prediction of Critical Micelle Concentration Using a Quantitative Structure-Property Relationship Approach

.   

Abstract

Relationships between the molecular structure and the critical micelle concentration (cmc) of anionic surfactants were investigated using a quantitative structure-property relationship approach. Measured cmc values for 119 anionic structures, representing sodium alkyl sulfates and sodium sulfonates with a wide variety of hydrophobic and hydrophilic structures, were considered. The best multiple linear regression model involved three terms (descriptors) and had a correlation coefficient of R2 = 0.940. Very good correlations (R2 = 0.988) were obtained using three descriptors for a subset of 68 structures, with structural variation only in the hydrophobic domain. From the descriptors used in these regressions, one can conclude that the cmc is primarily dependent on the size (volume or surface area) of the hydrophobic domain and to a lesser extent on the structural complexity of the surfactant molecule.

Entities:  

Year:  1997        PMID: 9245320     DOI: 10.1006/jcis.1996.4680

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  9 in total

1.  On the importance of topological descriptors in understanding structure-property relationships.

Authors:  David T Stanton
Journal:  J Comput Aided Mol Des       Date:  2008-03-13       Impact factor: 3.686

2.  QSPR modeling of hyperpolarizabilities.

Authors:  Alan R Katritzky; Liliana Pacureanu; Dimitar Dobchev; Mati Karelson
Journal:  J Mol Model       Date:  2007-06-15       Impact factor: 1.810

3.  Comparing recovering efficiency of immunomagnetic separation and centrifugation of mycobacteria in metalworking fluids.

Authors:  Shu-Chi Chang; Tracey I Anderson; Sarah E Bahrman; Cyndee L Gruden; Anna I Khijniak; Peter Adriaens
Journal:  J Ind Microbiol Biotechnol       Date:  2005-06-03       Impact factor: 3.346

4.  Enthalpy-driven micellization of oligocarbonate-fluorene end-functionalized Poly(ethylene glycol).

Authors:  Guangmin Wei; Shrinivas Venkataraman; Yi Yan Yang; James L Hedrick; Vivek M Prabhu
Journal:  Macromolecules       Date:  2018       Impact factor: 5.985

Review 5.  A review on progress in QSPR studies for surfactants.

Authors:  Jiwei Hu; Xiaoyi Zhang; Zhengwu Wang
Journal:  Int J Mol Sci       Date:  2010-03-08       Impact factor: 6.208

6.  Inverse ISAsomes in Bio-Compatible Oils-Exploring Formulations in Squalane, Triolein and Olive Oil.

Authors:  Florian Trummer; Otto Glatter; Angela Chemelli
Journal:  Nanomaterials (Basel)       Date:  2022-03-29       Impact factor: 5.076

7.  Modelling of the Critical Micelle Concentration of Cationic Gemini Surfactants Using Molecular Connectivity Indices.

Authors:  Anna Mozrzymas
Journal:  J Solution Chem       Date:  2013-11-02       Impact factor: 1.677

8.  Synthesis and antimicrobial activities of chitosan/polypropylene carbonate-based nanoparticles.

Authors:  Zhilong Quan; Chunyang Luo; Bitong Zhu; Chungui Zhao; Mingyi Yang; Magnar Bjørås; Kaizheng Zhu; Anna-Lena Kjøniksen
Journal:  RSC Adv       Date:  2021-03-10       Impact factor: 3.361

9.  Evaluation of Effect of Irrigants with or without Surfactant on Root Canal Transportation by Cone Beam Computed Tomography-An In vitro Study.

Authors:  Siddiq Ahmed; Prabu Mahin Syed Ismail; M Chandra Sekhar; Sampathi Naga Lakshmi Reddy; Moosani Gopi Krishna; Upendra Natha Reddy; Kalla Nikhita; P Sai Harish
Journal:  J Clin Diagn Res       Date:  2017-09-01
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.